⚠️ You are viewing archives from year 2018. To see this year's statistics go to main page.
Raw data
This is the data we retrieve from official webpage.
Data (filtered)
⚠️ Because the raw data contains artificial noise introduced by either bug or other problem not at our end we filter the raw data with median filter.
Usage (real)
From filtered data we derive the amount of bikes available each day and amount of "used" bicycles. Sharp edges in usage may represent global bike withdrawals.
Usage during day
This is average usage of the system at different times of day.
Rents
This graph is trying to visualize how many bicycles are being rent - however due to inaccuracies in input data, result is probably all wrong.
Usage per days
For every day we compute average, peak usage and number of available bikes.
Free bikes per weekdays
By averaging number of available bikes at different weekdays we discover when you have biggest chance of finding available bike.